{"id":"https://openalex.org/W2809871836","doi":"https://doi.org/10.1109/fskd.2017.8392995","title":"A fast algorithm for mining temporal association rules based on a new definition","display_name":"A fast algorithm for mining temporal association rules based on a new definition","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2809871836","doi":"https://doi.org/10.1109/fskd.2017.8392995","mag":"2809871836"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8392995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8392995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100653198","display_name":"Zhan Li","orcid":"https://orcid.org/0000-0003-3167-2718"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Zhan","raw_affiliation_strings":["Ministry of Education, Beijing Normal University Laboratory of Mathematics and Complex Systems, Beijing, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Ministry of Education, Beijing Normal University Laboratory of Mathematics and Complex Systems, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075869337","display_name":"Fusheng Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fusheng Yu","raw_affiliation_strings":["Ministry of Education, Beijing Normal University Laboratory of Mathematics and Complex Systems, Beijing, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Ministry of Education, Beijing Normal University Laboratory of Mathematics and Complex Systems, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019679311","display_name":"Huixin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I90259746","display_name":"Capital University of Economics and Business","ror":"https://ror.org/01r5sf951","country_code":"CN","type":"education","lineage":["https://openalex.org/I90259746"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huixin Zhang","raw_affiliation_strings":["School of Statistics, Capital University of Economics and Business, Beijing, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Statistics, Capital University of Economics and Business, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I90259746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100653198"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.9673,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84741423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1548","last_page":"1553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.9447035193443298},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6773704290390015},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.6459997296333313},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5762988924980164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49638205766677856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.320173978805542}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.9447035193443298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6773704290390015},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.6459997296333313},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5762988924980164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49638205766677856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.320173978805542},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8392995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8392995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1506285740","https://openalex.org/W1641039719","https://openalex.org/W1967430507","https://openalex.org/W1967721236","https://openalex.org/W2000265616","https://openalex.org/W2010569611","https://openalex.org/W2052375747","https://openalex.org/W2064853889","https://openalex.org/W2086173776","https://openalex.org/W2138984534","https://openalex.org/W2147694185","https://openalex.org/W2158454296","https://openalex.org/W2166559705","https://openalex.org/W2307888838","https://openalex.org/W2998574808","https://openalex.org/W6630198464","https://openalex.org/W6636681434","https://openalex.org/W6680667575"],"related_works":["https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W2065998343","https://openalex.org/W2369717039","https://openalex.org/W2384676159","https://openalex.org/W2982449560"],"abstract_inverted_index":{"In":[0,21],"literatures,":[1,27],"there":[2],"were":[3],"several":[4],"forms":[5],"of":[6,33,43,87],"definitions":[7],"for":[8,16,53,69],"temporal":[9,44,71],"association":[10,35,45,72],"rules":[11],"which":[12,47],"have":[13],"different":[14],"formulas":[15],"calculating":[17,54],"support":[18,56],"and":[19,37,57,79],"confidence.":[20,58],"this":[22],"paper,":[23],"after":[24],"reviewing":[25],"the":[26,31,34,61,84,88],"we":[28,64],"first":[29],"reform":[30],"definition":[32],"rule,":[36],"then":[38],"give":[39],"a":[40,66,76,80],"general":[41],"form":[42],"rule":[46],"was":[48],"equipped":[49],"with":[50],"new":[51,62,89],"formula":[52],"its":[55],"Based":[59],"on":[60,75],"definition,":[63],"propose":[65],"fast":[67],"algorithm":[68],"mining":[70],"rules.":[73],"Experiments":[74],"synthetic":[77],"dataset":[78,82],"real":[81],"exhibit":[83],"good":[85],"performance":[86],"proposed":[90],"algorithm.":[91]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
